Economic Research-Ekonomska Istraživanja · 2017 · 37 citations · 21 references
Volatility ModelingEngineeringTradeCommodity MarketVector Autoregression ModelVector AutoregressionAsset PricingEnergy TradeEconomic AnalysisEnergy DerivativeStatisticsEconomicsFinancePrecious MetalsMacroeconomicsEnergy PolicyCrude OilEconometricsBusinessEnergy CommodityCommodity Price IndexPrecious MetalEnergy EconomicsGold Prices
Throughout history, investors have attempted to determine the future states and prices of instruments that they consider to invest in. Thus, various econometric models have been developed in order to determine the variables influencing the prices of investment instruments, as well as the relationships between such variables. The main aim of the present study was to examine the variables that may be related to gold prices. These variables were divided into two groups: precious metals and energy. According to the results of unit root (or stationary) tests and cointegration tests, a vector autoregression model (VAR) was constructed to reveal the short-term interaction between gold prices and precious metals, and a vector error correction model (VECM) was employed to reveal relationship between gold prices and energy prices. The results of the VAR analysis indicated that gold prices have a short-term correlation with silver prices; platinum prices have a short-term correlation with gold and silver prices; and there is a short-term correlation between silver prices and palladium prices. According to the results of the VECM analysis, gasoline and crude oil prices have no long-term correlations with gold prices, but gold and crude oil prices have a long-term correlation with gasoline prices.
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Log-transformation and its implications for data analysis.
Changyong Feng, Hongyue Wang, Naiji Lu et al. · PubMed · 2014 · 608 citations · Full text
Dynamics of oil price, precious metal prices, and exchange rate
Shawkat Hammoudeh, Uğur Soytaş · Energy Economics · 2009 · 501 citations · Full text